title: SCAN: a systems biology approach to pharmacogenomic discovery.
abstract: Genome-wide association (GWA) studies have identified thousands of genetic variants that contribute to disease and pharmacologic traits. More recently, high-throughput sequencing studies promise to provide a more complete catalog of genetic variants with roles in human phenotypic variation. Yet, characterizing the influence of functional variants on genes, RNAs, proteins, and ultimately disease or pharmacologic traits is a critical challenge for a vast majority of the implicated susceptibility loci. Here we describe SCAN, a bioinformatics resource we have developed to elucidate the functional consequences of genetic variants identified by genome-wide scans. In particular, this public resource implements a systems biology approach to pharmacogenomic discovery.
authors.affiliation: Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.
authors.forename: Eric R
authors.initials: ER
authors.lastname: Gamazon
authors.forename: R Stephanie
authors.initials: RS
authors.lastname: Huang
authors.forename: Nancy J
authors.initials: NJ
authors.lastname: Cox
mesh_terms: D019295:Computational Biology / Q000379:methods*; D020022:Genetic Predisposition to Disease; D015894:Genome, Human; D055106:Genome-Wide Association Study; D006801:Humans; D020407:Internet; D010597:Pharmacogenetics / Q000379:methods*; D049490:Systems Biology / Q000379:methods*